Overview
Ansehn’s Main Metrics help you understand how your brand performs in AI-generated answers.
Together, these metrics show whether your brand appears, how much of the conversation it owns, how prominently it is positioned, how strongly it is supported by citations, and how positively it is described.
Why these metrics matter
AI-generated answers are becoming a key part of how users discover, compare, and evaluate brands.
That means it is no longer enough to only track traditional search performance. You also need to understand how AI models talk about your brand, how often they mention it, and whether they support those mentions with credible sources.
The Main Metrics section gives you a structured way to measure that performance.
How to use these metrics together
Each metric tells a different part of the story:
Visibility tells you whether your brand appears
Share of Voice tells you how much of the conversation you own
Position Score tells you how early your brand appears
Citation Share tells you whether your brand is supported by sources
Sentiment Score tells you how your brand is described
The best way to interpret performance is to look at these metrics together rather than in isolation.
For example:
High Visibility but low Share of Voice can mean your brand appears often, but competitors still dominate the conversation
High Visibility but weak Position Score can mean your brand is present, but appears late in the answer
High Visibility but low Citation Share can mean your brand is being mentioned without strong supporting evidence
High Visibility with strong Sentiment can mean your brand is both present and positively described
Explore each metric
Use the pages in this section to learn how each metric is defined, how it is calculated, and how to interpret it: